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Vol. 161, Issue 12, December 2013, pp. 47-52

 

Bullet

 

Facial Expression Recognition Using Patched Locality Preserving Projection
 
1 Minghai XIN, 2 Yali ZHOU

1 School of Computer Science and Technology, Huaqiao University, Xiamen 361021, China

2 Research Center for Learning Science, Southeast University, Nanjing, 201196, China
E-mail: xin_minghai@163.com

 

Received: 22 September 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems

 

Abstract: In this paper, we put forward a patched locality preserving projection algorithm for human facial expression recognition. Different from traditional approaches that partition all facial images of different classes into sub-images, the patched locality preserving projection first partitions the same class images into different patches, and then construct the feature subspace from the same location patches, and finally applied locality preserving projection algorithm to project the feature subspaces into low dimension spaces. The experimental results on JAFFE and Ekman facial database show that the proposed method is effective and improve the facial expression recognition performance.

 

Keywords: Facial expression recognition, Patched locality preserving projection, Manifold learning.

 

 

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